AIMC Topic: Biological Evolution

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What does evolution make? Learning in living lineages and machines.

Trends in genetics : TIG Jun 10, 2025
How does genomic information unfold, to give rise to self-constructing living organisms with problem-solving capacities at all levels of organization? We review recent progress that unifies work in developmental genetics and machine learning (ML) to ...
Evolution, Molecular Developmental Biology Phenotype Animals Genome Biological Evolution Humans Machine Learning
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Implications From the Analogous Relationship Between Evolutionary and Learning Processes.

BioEssays : news and reviews in molecular, cellular and developmental biology Jun 8, 2025
Organismal evolution is a process of discovering better-fitting phenotypes through trial and error across generations. This iterative process resembles learning processes, an analogy recognized since the 1950s. Recognizing this parallel suggests that...
Algorithms Learning Animals Biological Evolution Humans Machine Learning
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Pollen morphology, deep learning, phylogenetics, and the evolution of environmental adaptations in Podocarpus.

The New phytologist Jun 3, 2025
Podocarpus pollen morphology is shaped by both phylogenetic history and the environment. We analyzed the relationship between pollen traits quantified using deep learning and environmental factors within a comparative phylogenetic framework. We inves...
Deep Learning Altitude Temperature Phylogeny Biological Evolution Adaptation, Physiological Pollen Environment Fossils
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Unsupervised feature selection with evolutionary sparsity.

Neural networks : the official journal of the International Neural Network Society May 7, 2025
The ℓ-norm is playing an increasingly important role in unsupervised feature selection. However, existing algorithm for optimization problem with ℓ-norm constraint has two problems: First, they cannot automatically determine the sparsity, also known ...
Unsupervised Machine Learning Biological Evolution Neural Networks, Computer Algorithms Humans
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Exploring the evolutionary adaptations of the unique seahorse tail's muscle architecture through modelling and robotic prototyping.

Journal of the Royal Society, Interface May 7, 2025
Seahorses possess a unique tail muscle architecture that enables efficient grasping and anchoring onto objects. This prehensile ability is crucial for their survival, as it allows them to resist currents, cling to mates during reproduction and remain...
Smegmamorpha Robotics Animals Computer Simulation Biological Evolution Muscle, Skeletal Models, Biological Adaptation, Physiological Tail
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A neural network model for the evolution of reconstructive social learning.

Scientific reports Apr 29, 2025
Learning from others is an important adaptation. However, the evolution of social learning and its role in the spread of socially transmitted information are not well understood. Few models of social learning account for the fact that socially transm...
Computer Simulation Learning Social Behavior Biological Evolution Humans Neural Networks, Computer Social Learning
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Colonial bacterial memetic algorithm and its application on a darts playing robot.

Scientific reports Mar 28, 2025
In this paper, we present the Colonial Bacterial Memetic Algorithm (CBMA), an advanced evolutionary optimization approach for robotic applications. CBMA extends the Bacterial Memetic Algorithm by integrating Cultural Algorithms and co-evolutionary dy...
Robotics Biological Evolution Algorithms Bacteria
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Neuroevolution insights into biological neural computation.

Science (New York, N.Y.) Feb 14, 2025
This article reviews existing work and future opportunities in neuroevolution, an area of machine learning in which evolutionary optimization methods such as genetic algorithms are used to construct neural networks to achieve desired behavior. The ar...
Biological Evolution Neural Pathways Neurosciences Brain Machine Learning Animals Language Humans Algorithms Neurons Neural Networks, Computer
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Psychophysiological foundations of human physical activity behavior and motivation: theories, systems, mechanisms, evolution, and genetics.

Physiological reviews Jan 24, 2025
Physical activity is a meaningful part of life that starts before birth and lasts until death. There are many health benefits to be derived from physical activity; hence, regular engagement is recommended on a weekly basis. However, these recommendat...
Humans Animals Exercise Motivation Biological Evolution
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Neural networks through the lens of evolutionary dynamics.

Bio Systems Jan 1, 2025
This article revisits Artificial Neural Networks (NNs) through the lens of Evolutionary Dynamics. The two most important features of NNs are shown to reflect the two most general processes of Evolutionary Dynamics. This overlap may serve as a new and...
Humans Biological Evolution Neural Networks, Computer Animals
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